Our Team
Our team includes working research scientists, management professionals, and networking specialists to develop and market our AI tool.
Emotbot, detect emotions
Emotion recognition
in speech is a challenging problem because it is unclear that which features
are effective for speech emotion recognition, so this project will sort out
this problem by extracting useful features from speech for emotion recognition.
In this project, a qualified speech data source will be used which contains
different emotion states (e g anxious, happy, angry, fearful, bored, and
disgusted) and will
find the emotions from selected features of voice. Following stages will be
included to complete the final product.
·
Analyse the
previous researches related to emotion recognition from speech in robot agents completely
to overcome the existing problems.
·
Collection of the
correct database for speech datasets.
·
Useful feature
extraction from the selected dataset.
·
Reduction of
features based on useful and non‐useful features.
·
Use of classifiers
to classify different emotions
·
Real time
implementation of the system.
· Testing of built system and modification of system according to users’ requirements.
Why EMOTBOT
Why Emotbot as your tool for the emotion recognition
Emotion recognition through voice and video is an emerging field with vast applications for health providers. Our tool is supported by strong research from Europe and Australia. We have dedicated scientists and managers engaged in development process. We have a plan to market our tool through government and corporate networks.
Resources
We have access to specialised databases, necessary skill sets, and research facilities to develop our Artificial Intelligence solution. Furthermore, we are in the process of making collaborations with other research organisations specialising in health sector.
Potential Clients
Our clients will include health facilities, government organisations, and corporate sector organisations involved in suicide prevention and well being of people.
